data: max $integral dY$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW ]

max ∫dY ∂_P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW ] : ∂_P Covar. v and u data

max ∫dY ∂_P [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW ] .

Independent Variables (Grids)

P: grid: /P (mb) ordered [ (962.5) (887.5) (775.0) (650.0) (550.0) (450.0) (350.0) (275.0) (225.0) (175.0) (125.0) (85.0) (60.0) (40.0) (25.0) (15.0)] :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (91.25N) to (91.25S) by 2.5 N= 74 pts :grid

Other Info

bufferwordsize: 8
calendar: standard
center: US Weather Service - National Met. Center
datatype: doublearraytype
grib_name: CBMZW
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 196
gribvariable: 196
PDS_TimeRange: 113
pointwidth: 1.0
process: 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
PTVersion: 2
subcenter: NCEP Ensemble Products
units: 0.000174532925199433 kilogram^-1 meter³ radian north
history: max over T[Jan 1949, Feb 2023]

References

Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, A. Leetmaa, B. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, R. Jenne, and D. Joseph. The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society, March, 1996

Last updated: Mon, 27 Mar 2023 13:29:42 GMT

Data Views

	P	X	Y
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[relv temp vvel CBMZW CBVW qa reld rhum CBQW CBTZW vpot CBTMW vtemp CBUW u phi CBVQ v CBUQ psi CBTW ]
max $integral dY$ $partialdiff sub P$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBMZW ] [ X Y \| P]	M	M	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along X Y P
Differentiate along X Y P
Take differences along X Y P